SKILLEMALL.ai

AF ms-outlook-teams-assistant

Track and nag about Microsoft Outlook email and (optionally) Microsoft Teams messages on a Windows machine, without relying on web versions. Use when the user asks to: (1) monitor inbox/mentions and remind them on Telegram/Teams until dismissed, (2) draft short, personable, low-jargon email replies from an existing Outlook thread, (3) surface action items from the last N days (default 7). Works via Outlook Desktop automation (COM) and optionally Microsoft Graph for Teams if configured.

ClawHub Agent Skills author: abhinavjp v1.0.1 13 files body ≈ 958 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 46/100 · Will not run — References files that are not bundled: references/config.json

GeneratorOutlookTelegramMicrosoft TeamsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: references/config.json
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/config.json

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: references/config.json
  • 0Tools and files. 1 referenced file(s) missing: references/config.json
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 17 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 40 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 958 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -31 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 490: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 40 items
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill does what it claims at a high level, but it handles Microsoft 365 messages and Teams auth tokens in ways that need careful review before use.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026